Browse State-of-the-Art › Face Image Quality
Face Image Quality
23 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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23 shown of 23 papers with code (54 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Mar 2020 5 repositories listedFace image quality is an important factor to enable high performance face recognition systems.
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7 Jan 2025 2 repositories listedSubsequently, the PSNR and SSIM metrics are employed to obtain training labels based on which neural networks are trained using a single network to detect JPEG and JPEG 2000 artefacts, respectively.
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13 Jun 2024 1 repository listedGeneric Face Image Quality Assessment (GFIQA) evaluates the perceptual quality of facial images, which is crucial in improving image restoration algorithms and selecting high-quality face images for downstream tasks.
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18 Apr 2024 1 repository listedWe propose in this work a novel approach to assess the quality of face images based on inspecting the required changes in the pre-trained FR model weights to minimize differences between testing samples and the…
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15 Apr 2024 1 repository listedTo address this problem, we present in this paper a novel knowledge distillation approach, termed AI-KD that can extend on any existing FIQA technique, improving its robustness to alignment variations and, in turn,…
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13 Mar 2024 1 repository listedIn the realm of face image quality assesment (FIQA), method based on sample relative classification have shown impressive performance.
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12 Mar 2024 1 repository listedFor this reason, Face Image Quality Assessment (FIQA) techniques are often used by FR systems, to provide quality estimates of captured face samples.
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25 Jan 2024 1 repository listedAdditional steps based on face recognition and face image quality assessment models reduce false positives, and facilitate the deduplication of the face images both for intra- and inter-subject duplicate sets.
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1 Jan 2024 1 repository listedFurthermore to alleviate the issue of the model placing excessive trust in inaccurate quality anchors we propose a confidence calibration method to correct the quality distribution by exploiting to the fullest extent of…
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22 Dec 2023 1 repository listedFace image quality assessment (FIQA) is crucial for obtaining good face recognition performance.
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24 May 2023 1 repository listedTo help improve the performance and stability of FR systems in such unconstrained settings, face image quality assessment (FIQA) techniques try to infer sample-quality information from the input face images that can aid…
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9 May 2023 1 repository listedIn this paper, we present a powerful new FIQA approach, named DifFIQA, which relies on denoising diffusion probabilistic models (DDPM) and ensures highly competitive results.
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23 Mar 2023 1 repository listedAdditionally, a discard fraction limit or range must be selected to compute pAUC values, which can then be used to quantitatively rank quality assessment algorithms.
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1 Mar 2023 1 repository listedEvaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy.
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9 Jan 2023 1 repository listedNone of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.
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1 Jan 2023 1 repository listedFurthermore, we design an easy-to-hard training scheduler based on the inter-domain uncertainty and intra-domain quality margin as well as the ranking-based domain adversarial network to enhance the effectiveness of…
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5 Dec 2022 1 repository listedIn this paper, we propose a novel approach to face image quality assessment, called FaceQAN, that is based on adversarial examples and relies on the analysis of adversarial noise which can be calculated with any FR…
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3 Jan 2022 1 repository listedThis comparison shows that, even though FaceQgen does not surpass the best existing face quality assessment methods in terms of face recognition accuracy prediction, it achieves good enough results to demonstrate the…
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13 Dec 2021 1 repository listedBased on that, our proposed CR-FIQA uses this paradigm to estimate the face image quality of a sample by predicting its relative classifiability.
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9 Dec 2021 1 repository listedTo avoid the low discrimination between the general spatial activation mapping of low and high-quality images in FR models, we build our explainability tools in a higher derivative space by analyzing the variation of…
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26 Nov 2021 1 repository listedThese variabilities can be measured in terms of face image quality which is defined over the utility of a sample for recognition.
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21 Oct 2021 1 repository listedTo achieve this, a model-specific quality value of the input image is estimated and used to build a sample-specific quality regression model.
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10 Mar 2021 1 repository listedThus, we propose a novel unsupervised FIQA method that incorporates Similarity Distribution Distance for Face Image Quality Assessment (SDD-FIQA).
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